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Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Zoltan Toth

Zoltan Toth
Senior Spark Instructor , Databricks

@zoltanctoth

Zoltan Toth is a senior spark instructor on the Databricks training team and a visiting professor at the Central European University. A data engineer and trainer with over 17 years of experience building data-intensive applications, Zoltan also architects and prototypes big data architectures and regularly gives talks at meetups and conferences. Previously, he built Prezi’s data infrastructure and, as the company grew, transformed it into a Hadoop-based big data architecture—and managed the team that scaled it, crunching over a 1 petabyte of data. Zoltan also helped kick off the RapidMiner’s Apache Spark integration.

Sessions

9:00 - 17:00 Monday, 22 May & Tuesday, 23 May
Spark & beyond
Location: Capital Suite 7
Secondary topics:  Text Analysis and Mining
Zoltan Toth (Databricks)
Average rating: ****.
(4.00, 2 ratings)
The real power and value proposition of Apache Spark is in building a unified use case that combines ETL, batch analytics, real-time stream analysis, machine learning, graph processing, and visualizations. Zoltan Toth employs hands-on exercises using various Wikipedia datasets to illustrate the variety of ideal programming paradigms Spark makes possible. Read more.